Search Results for "gpu"
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Showing 1361 open source projects for "gpu"
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GPU Hot
Real-time NVIDIA GPU dashboard
GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. -
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Easy GPU PV
A Project dedicated to making GPU Partitioning on Windows easier
Easy-GPU-PV is an open-source project that automates the relatively complex steps required to set up GPU Paravirtualization (GPU-PV) on Windows Hyper-V, letting you partition a physical GPU and assign slices to virtual machines for low-latency remote use. It creates and installs a Windows VM, copies the necessary GPU-PV driver files into the VM, and helps install Parsec (an ultra-low-latency remote-desktop client) so you can connect to the VM at high framerates. ... -
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NVIDIA GPU Exporter
Nvidia GPU exporter for prometheus using nvidia-smi binary
Nvidia GPU exporter for prometheus, using nvidia-smi binary to gather metrics. There are many Nvidia GPU exporters out there however they have problems such as not being maintained, not providing pre-built binaries, having a dependency to Linux and/or Docker, targeting enterprise setups (DCGM) and so on. -
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GPU Puzzles
Solve puzzles. Learn CUDA
GPU Puzzles is an educational project designed to teach GPU programming concepts through interactive coding exercises and puzzles. Instead of presenting traditional lecture-style explanations, the project immerses learners directly in hands-on programming tasks that demonstrate how GPU computation works. The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. ... -
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NVIDIA GPU Operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
...However, configuring and managing nodes with these hardware resources requires the configuration of multiple software components such as drivers, container runtimes or other libraries which are difficult and prone to errors. The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Runtime, automatic node labeling, DCGM-based monitoring, and others. -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. -
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WSL
Windows Subsystem for Linux
WSL is Microsoft's compatibility layer—now open source—that allows Linux binaries (CLI and GUI) to run natively on Windows without a VM. WSL 1 handles syscall translation; WSL 2 uses a lightweight VM with full Linux kernel, enabling full Linux compatibility, improved I/O, GPU acceleration, and support for distributions like Ubuntu, Debian, Kali, etc. -
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NVIDIA Linux Open GPU Kernel Module
NVIDIA Linux open GPU kernel module source
This is the source release of the NVIDIA Linux open GPU kernel modules, version 530.41.03. Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 530.41.03 driver release. Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line. Any reasonably modern version of GCC or Clang can be used to build the kernel modules. -
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nviwatch
A blazingly fast rust based TUI for managing and monitoring NVIDIA GPU
NviWatch is an interactive terminal user interface (TUI) application for monitoring NVIDIA GPU devices and processes. Built with Rust, it provides real-time insights into GPU performance metrics, including temperature, utilization, memory usage, and power consumption. -
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Upscayl
Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
...Upscayl is a cross-platform application built with the Linux-first philosophy. This means that we prioritize Linux builds over others but that doesn't mean we'll break things for other OSes. Upscayl does not work without a GPU, sorry. You'll need a Vulkan-compatible GPU to upscale images. CPU or iGPU won't work. You can also download the flatpak version and double-click the flatpak file to install via Store but wait for the full release, we'll be pushing it to Flathub for easy access. Upscayl uses AI models to enhance your images by guessing what the details could be. ... -
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Fan Control
Highly customizable fan controlling software for Windows
Fan Control is a Windows utility designed to give users fine-grained, customizable control over system fans (CPU, GPU, case, etc.) based on temperature and sensor inputs. Rather than relying solely on BIOS fan curves, it allows dynamic adjustment of fan behaviour at the operating-system level — letting you react to real-time load, mix multiple sensors (CPU, GPU, motherboard, drives, etc.), and define custom fan-speed curves for different situations. -
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Gupax
GUI Uniting P2Pool And XMRig
A versatile tool designed for managing and analyzing GPU performance across tasks. -
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GPU-Z
Lightweight GPU information and diagnostics tool.
GPU-Z is a specialized and lightweight system utility designed to provide in-depth information about your video card and graphics processor. It offers comprehensive support for a wide range of graphics devices from NVIDIA, AMD, ATI, and Intel. The application delivers detailed data on the adapter, GPU specifications, and display information. -
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Kitty
Fast, Featureful, GPU based terminal emulator
Kitty is a fast GPU based terminal editor that allows you to offload rendering to the GPU for lower system load. Kitty works on Linux and macOS and uses OpenGL for rendering which makes it portable to other platforms similar to Unix. -
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TrafficMonitor
Floating window used to display current network speed, CPU & memory
...There are two versions of TrafficMonitor, the standard version and the Lite version. The standard version includes all the functions, while the Lite version does not include hardware monitoring functions such as temperature monitoring, GPU usage, and hard disk usage. The standard version requires administrator privilege to run, while the Lite version does not. -
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QualityScaler
Image/video AI upscaler app (BSRGAN)
...QualityScaler is completely written in Python, from the backend to the front end. Image/list of images upscale. Video upscale. Drag&drop files [image / multiple images/video] Automatic image tiling and merging to avoid gpu VRAM limitation. Resize image/video before upscaling. Multiple Gpu support. Compatible images - png, jpeg, bmp, webp, tif. Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt. -
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XMRig
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
High performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT CPU/GPU miner, RandomX benchmark, and stratum proxy. XMRig is a high-performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS, and FreeBSD. The preferred way to configure the miner is the JSON config file as it is more flexible and human-friendly. -
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Alacritty
A cross-platform, GPU-accelerated terminal emulator
...With such a strong focus on simplicity and performance, Alacritty’s included features are very carefully considered, ensuring that it remains blazingly fast. It’s got a GPU for rendering that makes a whole lot of optimizations possible. In various benchmarked terminals, Alacritty has shown to be either faster, or way faster than others. Alacritty requires no additional setup, but still allows configuration of many aspects of the terminal. It supports Windows, macOS, Linux and BSD. -
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KonaBess
A GPU overclock & undervolt tool for various Snapdragon chips
KonaBess is a straightforward application designed to customize GPU frequency and voltage tables without the need for kernel recompilation. The application achieves customization by unpacking the Boot/Vendor Boot image, decompiling and editing relevant dtb (device tree binary) files, and finally repacking and flashing the modified image. The extent of improvement varies, with some users reporting a 25% reduction in power consumption in the graphics benchmark (4.2w->3.2w) after undervolting the Snapdragon 865. ... -
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GPUArrays
Reusable array functionality for Julia's various GPU backends
Reusable GPU array functionality for Julia's various GPU backends. This package is the counterpart of Julia's AbstractArray interface, but for GPU array types: It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users! Instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl. -
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AirLLM
AirLLM 70B inference with single 4GB GPU
AirLLM is an open source Python library that enables extremely large language models to run on consumer hardware with very limited GPU memory. The project addresses one of the main barriers to local LLM experimentation by introducing a memory-efficient inference technique that loads model layers sequentially rather than storing the entire model in GPU memory. This layer-wise inference approach allows models with tens of billions of parameters to run on devices with only a few gigabytes of VRAM. ... -
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GPUCompiler.jl
Reusable compiler infrastructure for Julia GPU backends
Reusable compiler infrastructure for Julia GPU backends. This package offers reusable compiler infrastructure and tooling for implementing GPU compilers in Julia. It is not intended for end users! Instead, you should use one of the packages that builds on GPUCompiler.jl, such as CUDA.jl or AMDGPU.jl. -
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Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
...Cutting-edge models such as Neural ODEs are first class, and Zygote enables overhead-free gradients. GPU kernels can be written directly in Julia via CUDA.jl. Flux is uniquely hackable and any part can be tweaked, from GPU code to custom gradients and layers. -
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ComputeSharp
.NET library to run C# code in parallel on the GPU through DX12
ComputeSharp is a .NET library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders. The available APIs let you access GPU devices, allocate GPU buffers and textures, move data between them and the RAM, write compute shaders entirely in C# and have them run on the GPU. The goal of this project is to make GPU computing easy to use for all .NET developers! -
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MangoHud
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU load and more. mangoplot is a plotting script that is shipped with MangoHud: on a given folder, it takes each log file, makes a 1D heatmap of its framerates, then stacks the heat maps vertically to form a 2D graph for easy visual comparison between benchmarks.
